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Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms

Intracranial aneurysms (IAs) are characterized by localized dilation or ballooning of a cerebral artery. When IAs rupture, blood leaks into the space around the brain to create a subarachnoid hemorrhage. The latter is associated with a higher risk of disability and mortality. The aims of this study...

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Autores principales: Wang, Qunhui, Luo, Qi, Yang, Zhongxi, Zhao, Yu-Hao, Li, Jiaqi, Wang, Jian, Piao, Jianmin, Chen, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7034829/
https://www.ncbi.nlm.nih.gov/pubmed/32084215
http://dx.doi.org/10.1371/journal.pone.0229308
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author Wang, Qunhui
Luo, Qi
Yang, Zhongxi
Zhao, Yu-Hao
Li, Jiaqi
Wang, Jian
Piao, Jianmin
Chen, Xuan
author_facet Wang, Qunhui
Luo, Qi
Yang, Zhongxi
Zhao, Yu-Hao
Li, Jiaqi
Wang, Jian
Piao, Jianmin
Chen, Xuan
author_sort Wang, Qunhui
collection PubMed
description Intracranial aneurysms (IAs) are characterized by localized dilation or ballooning of a cerebral artery. When IAs rupture, blood leaks into the space around the brain to create a subarachnoid hemorrhage. The latter is associated with a higher risk of disability and mortality. The aims of this study were to gain greater insight into the pathogenesis of ruptured IAs, and to clarify whether identified hub genes represent potential biological markers for assessing the likelihood of IA progression and rupture. Briefly, the GSE36791 and GSE73378 datasets from the National Center of Biotechnology Information Gene Expression Omnibus database were reanalyzed and subjected to a weighted gene co-expression network analysis to test the association between gene sets and clinical features. The clinical significance of these genes as potential biomarkers was also examined, with their expression validated by quantitative real-time PCR. A total of 14 co-expression modules and 238 hub genes were identified. In particular, three modules (labeled turquoise, blue, and brown) were found to highly correlate with IA rupture events. Additionally, six potential biomarkers were identified (BASP1, CEBPB, ECHDC2, GZMK, KLHL3, and SLC2A3), which are strongly associated with the progression and rupture of IAs. Taken together, these findings provide novel insights into potential molecular mechanisms responsible for IAs and they highlight the potential for these particular genes to serve as biomarkers for monitoring IA rupture.
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spelling pubmed-70348292020-02-27 Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms Wang, Qunhui Luo, Qi Yang, Zhongxi Zhao, Yu-Hao Li, Jiaqi Wang, Jian Piao, Jianmin Chen, Xuan PLoS One Research Article Intracranial aneurysms (IAs) are characterized by localized dilation or ballooning of a cerebral artery. When IAs rupture, blood leaks into the space around the brain to create a subarachnoid hemorrhage. The latter is associated with a higher risk of disability and mortality. The aims of this study were to gain greater insight into the pathogenesis of ruptured IAs, and to clarify whether identified hub genes represent potential biological markers for assessing the likelihood of IA progression and rupture. Briefly, the GSE36791 and GSE73378 datasets from the National Center of Biotechnology Information Gene Expression Omnibus database were reanalyzed and subjected to a weighted gene co-expression network analysis to test the association between gene sets and clinical features. The clinical significance of these genes as potential biomarkers was also examined, with their expression validated by quantitative real-time PCR. A total of 14 co-expression modules and 238 hub genes were identified. In particular, three modules (labeled turquoise, blue, and brown) were found to highly correlate with IA rupture events. Additionally, six potential biomarkers were identified (BASP1, CEBPB, ECHDC2, GZMK, KLHL3, and SLC2A3), which are strongly associated with the progression and rupture of IAs. Taken together, these findings provide novel insights into potential molecular mechanisms responsible for IAs and they highlight the potential for these particular genes to serve as biomarkers for monitoring IA rupture. Public Library of Science 2020-02-21 /pmc/articles/PMC7034829/ /pubmed/32084215 http://dx.doi.org/10.1371/journal.pone.0229308 Text en © 2020 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Qunhui
Luo, Qi
Yang, Zhongxi
Zhao, Yu-Hao
Li, Jiaqi
Wang, Jian
Piao, Jianmin
Chen, Xuan
Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms
title Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms
title_full Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms
title_fullStr Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms
title_full_unstemmed Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms
title_short Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms
title_sort weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7034829/
https://www.ncbi.nlm.nih.gov/pubmed/32084215
http://dx.doi.org/10.1371/journal.pone.0229308
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